Transdisciplinary ResearchFive modules. 25 lessons. From paradigms to impact.
A self-paced introduction to transdisciplinary research methodology. Module 1 grounds you in paradigms and ways of knowing. Modules 2 and 3 cover research design and methodological integration across qualitative, quantitative, and mixed methods. Module 4 builds analysis and interpretation skills. Module 5 closes with ethics, communication, and research for transformation.
Course outline
25 lessons across 5 modules · ~10 hours total · click any lesson to start
Module 1: Foundations & Paradigms
- Lesson 1
What Is a Transdisciplinary Approach?
- Distinguish mono-, multi-, inter-, and transdisciplinary research
- Identify the 'single story' trap in disciplinary thinking
- Apply the 5 Lenses Framework to a research problem
- Lesson 2
The Transdisciplinary Research Basic Viewpoint
- Distinguish a puzzle from a wicked problem
- Map a stakeholder ecosystem for a research problem
- Use Design, Systems, and Complexity Thinking together
- Lesson 3
Transdisciplinary Research Paradigms
- Define 'paradigm' as a set of ontological, epistemological, and methodological commitments
- Identify the limits of PICO/SPIDER for wicked problems
- Write integrative research questions that admit multiple ways of knowing
- Lesson 4
Transdisciplinary Positivism & Post-Positivism
- Distinguish positivism from post-positivism in plain language
- Use theory as a lens without letting it constrain the problem
- Integrate indigenous, feminist, and postcolonial frameworks as transdisciplinary bridges
- Lesson 5
Transdisciplinary Interpretivism & Constructivism
- Distinguish interpretivism from constructivism without conflating them
- Build a conceptual framework that spans more than one discipline
- Navigate theoretical tensions productively rather than collapsing them
Module 2: Research Design
- Lesson 6
The Research Design Ecosystem
- Reframe 'literature review' as boundary scanning and knowledge synthesis
- Search effectively across disciplinary silos
- Integrate gray literature and non-traditional sources
- Lesson 7
Literature Synthesis as Boundary Work
- Appraise studies critically across paradigms
- Synthesize evidence that integrates rather than compares
- Write reviews that build cross-disciplinary bridges
- Lesson 8
Designing for Complexity
- Distinguish linear from adaptive design
- Match design to problem complexity
- Identify when complexity forces methodological integration
- Lesson 9
Experimental & Interventional Research
- Apply design thinking to interventional research
- Use the empathize–define–ideate–prototype–test cycle in study design
- Co-design with research participants and stakeholders
- Lesson 10
Design Thinking for Research
- Apply design thinking to research design itself
- Iterate on research instruments and procedures, not just interventions
- Co-design study procedures with participants and stakeholders
Module 3: Methodological Integration
- Lesson 11
Reframing Quantitative Inquiry
- Reframe numbers as one way of knowing, not the gold standard
- Name the specific strengths and limits of survey and correlational research
- Apply cultural validity criteria to measurement
- Lesson 12
Qualitative Approaches as Deep Understanding
- Distinguish phenomenology, grounded theory, and ethnography by purpose
- Decentralize academic knowledge through participatory methods
- Apply trustworthiness criteria (credibility, transferability, dependability, confirmability)
- Lesson 13
Mixed Methods as Methodological Integration
- Use pragmatism as a philosophical anchor for mixed methods
- Decide when integration is necessary
- Distinguish convergent, explanatory, and exploratory sequential designs
- Lesson 14
Advanced Integration & Joint Displays
- Execute process integration across the study lifecycle
- Build joint displays that communicate integrative claims
- Generate meta-inferences from mixed data
- Lesson 15
Transdisciplinary Research Design
- Define Mode 2 knowledge production
- Distinguish multi-, inter-, and transdisciplinary research in practice
- Apply co-production and team-science strategies
Module 4: Analysis & Interpretation
- Lesson 16
Interpreting Statistics in Context
- Interpret statistical findings without losing context
- Apply contextual inference to hypothesis testing
- Avoid reductionist conclusions from aggregate data
- Lesson 17
Qualitative Analysis as Meaning-Making
- Identify emergent themes that honor participant voices
- Use software as a tool, not a substitute for thinking
- Establish rigor through transparency in meaning-making
- Lesson 18
Integrative Analysis & Interpretation
- Conduct cross-method dialogue (convergence/divergence/complementarity)
- Build visual integration strategies (joint displays, matrices)
- Progress from raw findings to wisdom and practical implications
- Lesson 19
Reflexivity & Positionality in Research
- Treat the self as a primary research instrument
- Document positionality and its analytic implications
- Apply a decolonizing approach where appropriate
- Lesson 20
Systems Thinking in Data Interpretation
- Apply complexity science to data interpretation
- Identify complexity markers: feedback loops, emergence, non-linearity
- Move from isolated findings to systemic synthesis
Module 5: Ethics, Communication & Impact
- Lesson 21
Research Ethics as Relational Practice
- Frame IRB as the ethical floor, not the ceiling
- Apply dynamic consent as an ongoing process
- Integrate CBPR ethics and indigenous protocols
- Lesson 22
Integrity, Power & Justice in Research
- Treat research as a political act and analyze its politics
- Conduct a beneficiary analysis
- Apply data-justice principles
- Lesson 23
Authorship, Publication & Knowledge Sharing
- Apply ethical authorship criteria in team science
- Use preregistration and reproducibility standards
- Decide where and how to publish for impact
- Lesson 24
Transdisciplinary Communication Strategies
- Adapt the same finding for policy, practice, and public audiences
- Use multiliteracies (text, visual, audio, narrative) intentionally
- Make dissemination accessible by default
- Lesson 25
Research for Transformation & Flourishing
- Apply knowledge mobilization (KMb) strategies
- Use participatory action research where appropriate
- Identify transdisciplinary career paths
How this course compares with other ways to learn
Each option has its place, and many learners combine them. Here is how they differ.
Ways to learn this material
| Option | Cost | What you get | Best for |
|---|---|---|---|
| A textbook on your own | The price of the book | Depth and reference value; pacing and practice are up to you | Self-directed learners |
| A university course | Tuition and enrollment | An instructor, grades, and credit | Learners who need credit toward a degree |
| Scattered free videos and articles | Free | Explanations of single topics, in no particular order | Looking up one concept quickly |
| Transdisciplinary Research (this course) | Free | 25 lessons in 5 modules with video, notes, practice, and a quiz per lesson | Researchers working across disciplines and with community partners |
Frequently Asked Questions
What is transdisciplinary research?
Research that integrates methods and knowledge across disciplines, and often with partners outside academia, to address a shared problem. The course covers paradigms, design, integration, analysis, and ethics.
How is the course structured?
25 lessons across 5 modules, each with video, notes, practice, and a quiz.
Is the course free?
Yes.
Questions about the course?
Reach out on LinkedIn, happy to discuss the curriculum, point you at the right module for your background, or talk research methodology.